Academic Articles & Research Papers

Data Mining: Practical Machine Learning Tools and Techniques

New Advances in Machine Learning

The purpose of this book is to provide an up-to-date and systematical introduction to the principles and algorithms of machine learning. The definition of learning is broad enough to include most tasks that we commonly call “learning” tasks...

Introduction to Machine Learning

R is one of the top-rated problem-solving tools for machine learning, data science, data analytics, data mining, and statistical analysis. R ’s popularity has resulted in the development of thousands of tutorials. Unfortunately, it’s easy t...

Machine Learning for Hackers

If you're an experienced programmer interested in crunching data, this book will get you started with machine learning-a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John...

Machine learning for advanced energy materials

The screening of advanced materials coupled with the modeling of their quantitative structural-activity relationships has recently become one of the hot and trending topics in energy materials due to the diverse challenges, including low su...

The promise of digital twins as a tool for personalized approaches in nephrology.

Epigenetic dysregulation of high-grade gliomas: from heterogeneity to brain network modulation.

New chemicals fuel the evolution of microbial biodegradation.

Outcome Prediction in Older Adults With Head and Neck Cancer Undergoing Chemoradiation.

Unrelated Donor Age and Recipient Outcomes After Posttransplant Cyclophosphamide vs Conventional Prophylaxis.

Influence of Interfacial Interactions on the Formation of Zein-Ethyl Cellulose Composite Films.

In vivo prediction of carcass and meat quality in lambs using multi-site bioelectrical impedance combined with body morphometrics.

Targeting the alpha-synuclein protein to treat Parkinson's disease using novel inhibitors identified using an integrated computational drug development approaches.

Decoding the genetic complexity in a pediatric case of B-ALL through long-read genomic sequencing and RNA sequencing.

The distribution of antibiotic resistance and virulence factor genes in the sediment of Inexpressible Island, East Antarctica.

Major depression and mortality from cancer: A 10-year Italian study.

Just Not That Into You: Experiences of Indifference Toward a Romantic Partner.

An experimental study on estimating sleep period time using accelerometer and electrodermal activity in ring-shaped wearable devices.

Using fuzzy and machine learning iterative optimized models to generate the flood susceptibility maps: case study of Prahova River basin, Romania

AbstractIn this work, the vulnerability to flooding in the Prahova River basin was calculated and analyzed using advanced methods and techniques. Thus, 2 hybrid models represented by Iterative Classifier Optimizer – Multiclass Alternating D...

Using a nested anomaly detection machine learning algorithm to study the neutral triple gauge couplings at an e+e− collider

Anomaly detection algorithms have been proved to be useful in the search of new physics beyond the Standard Model. However, a prerequisite for using an anomaly detection algorithm is that the signal to be sought is indeed anomalous. This do...